Measuring syntactic complexity in spontaneous spoken Swedish.

Hesitation disfluencies after phonetically prominent stranded function words are thought to reflect the cognitive coding of complex structures. Speech fragments following the Swedish function word att 'that' were analyzed syntactically, and divided into two groups: one with att in disfluent contexts...

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Publicado en:Language & Speech Vol. 50; no. 2; pp. 227 - 246
Autores principales: Roll M, Frid J, Horne M
Formato: pictorial research tables/charts tracings Journal Article
Publicado: Sage Publications Inc. Jun2007
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Sage Publications Inc.
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        atl: Measuring syntactic complexity in spontaneous spoken Swedish.
      aug:
        au:
          Roll M
          Frid J
          Horne M
        affil: Department of Linguistics and Phonetics, Lund University, Box 201, 221 00 Lund, Sweden.
      sug:
        subj:
          Accents and Dialects Sweden
          Grammar
          Language Processing
          Speech Production Measurement
          Correlation Coefficient
          Data Analysis Software
          Descriptive Statistics
          Funding Source
          Grammar Classification
          Language Development
          Linguistics
          Models, Statistical
          Models, Theoretical Evaluation
          Phonetics
          Sound Spectrography
          Speech Perception
          Sweden
          T-Tests
          Human
      ab: Hesitation disfluencies after phonetically prominent stranded function words are thought to reflect the cognitive coding of complex structures. Speech fragments following the Swedish function word att 'that' were analyzed syntactically, and divided into two groups: one with att in disfluent contexts, and the other with att in fluent contexts. Complexity was calculated in terms of a number of measures related to syntactic tree structures produced by the analysis tool GRAMMAL. Results showed that disfluent att is in general associated with significantly higher mean complexity values than fluent att. This information can be used to predict whether the function word at the beginning of a fragment is likely to be disfluent or not. Two kinds of statistical classification algorithms (Bayesian and neural networks) were used to test this hypothesis. The best result was 71% correctly classified cases, which is significantly better than a system that is based on selecting the data's majority class.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
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        Journal Article
      ougenre: Article
    language: English
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